A Fast Space-Recursive Adaptive Algorithm lor Two-Dimensional Noncausal Filter Coefficient Estimation

Zhao Pingya; Zhang Xianmeng

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A Fast Space-Recursive Adaptive Algorithm lor Two-Dimensional Noncausal Filter Coefficient Estimation

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- A Fast Space-Recursive Adaptive Algorithm lor Two-Dimensional Noncausal Filter Coefficient Estimation
- Acta Electronica Sinica Issue 5, Pages: 69-74(1991)
- 作者机构：
  
  1. 华东工学院
  2. 华东工学院南京
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1991
- 稿件说明：
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[1]赵平亚,张先萌.二维非因果滤波器系数的一种空间递归自适应快速算法[J].电子学报,1991(05):69-74.

Zhao Pingya, Zhang Xianmeng. A Fast Space-Recursive Adaptive Algorithm lor Two-Dimensional Noncausal Filter Coefficient Estimation[J]. Acta Electronica Sinica, 1991, (5): 69-74.
[1]赵平亚,张先萌.二维非因果滤波器系数的一种空间递归自适应快速算法[J].电子学报,1991(05):69-74. DOI：

Zhao Pingya, Zhang Xianmeng. A Fast Space-Recursive Adaptive Algorithm lor Two-Dimensional Noncausal Filter Coefficient Estimation[J]. Acta Electronica Sinica, 1991, (5): 69-74. DOI：

摘要

本文提出一种直接从包含在某一滑动数据窗中的图象灰度数据出发做滤波器参数估计的快速二维非因果型空间递归最小二乘（LS）算法

它的运算量为15m

3/2

+16mMADPR（每次递归的乘/除法次数）

其中m为被估计的参数个数。

Abstract

This paper presents a fast spatially recursive algorithm for designing 2D adaptive LS filter of the noncausal and space-varying FIR type. The computational quantity of the algorithm is 15m3/2+16m MADPR （multiplications and divisions per recursion）

where m is the number of the filter weighting factors.

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